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首页> 外文期刊>IEICE Transactions on Communications >An Enhanced Simple-adaptive Link State Update Algorithm For Qos Routing
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An Enhanced Simple-adaptive Link State Update Algorithm For Qos Routing

机译:用于Qos路由的增强型简单自适应链路状态更新算法

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摘要

In order to find paths guaranteed by Quality of Service (QoS), the link state database (LSDB), containing QoS constraint information, and residing in routers, needs to be well managed. However, there is a trade-off between the exact reflection of the current link status and the update cost to calculate and maintain this data. In order to perfectly reflect the current link state, each router immediately notifies its neighbors whenever link state information changes. However, this may degrade the performance of the router. On the other hand, if current link state information is not updated routinely, route setup requests may be rejected because of the discrepancy between the current link state information and the previously updated link state information in the LSDB. Therefore, we need link state update (LSU) algorithms making it possible to appropriately update the LSDB. In addition, to facilitate implementation, they also should have low-complexity and must be adaptive under the variation of network conditions. In this paper, we propose an enhanced simple-adaptive (ESA) LSU algorithm, to reduce the generation of LSU messages while maintaining simplicity and adaptivity. The performance of this algorithm is compared with five existing algorithms by rigorous simulations. The comparision shows that the ESU algorithm can adapt to changes in network conditions and its performance is superior to existing LSU algorithms.
机译:为了找到由服务质量(QoS)保证的路径,需要对包含QoS约束信息并驻留在路由器中的链路状态数据库(LSDB)进行管理。但是,在当前链路状态的准确反映与计算和维护此数据的更新成本之间需要权衡。为了完美反映当前的链路状态,每当链路状态信息更改时,每个路由器都会立即通知其邻居。但是,这可能会降低路由器的性能。另一方面,如果当前链路状态信息不是按常规更新的,则路由建立请求可能会由于当前链路状态信息与LSDB中先前更新的链路状态信息之间的差异而被拒绝。因此,我们需要链接状态更新(LSU)算法,以便可以适当地更新LSDB。此外,为便于实施,它们还应具有低复杂度,并且必须在网络条件变化的情况下具有自适应性。在本文中,我们提出了一种增强的简单自适应(ESA)LSU算法,以减少LSU消息的生成,同时保持简单性和适应性。通过严格的仿真,将该算法的性能与五个现有算法进行了比较。比较表明,ESU算法可以适应网络条件的变化,其性能优于现有的LSU算法。

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